基于MapX的工程测量信息系统设计与实现

采用GIS管理测量数据是提高城市勘测效率的重要基础。本文介绍了利用MapX组件开发广州市建设工程测量信息系统,实现了建设工程测量图形与属性数据之间的双向查询。侧重研究建设工程测量的数据组织形式,以及空间信息和属性信息之间的关联。实验证明,利用MapX组件能高效地建造建设工程测量信息系统;系统中的空间数据结构设计合理,能较好地实现建设工程测量数据的录入、查询以及综合管理等系统要求。     

DZW-Ⅱ型微伽重力仪的改进设计

在第一代DZW-Ⅰ重力仪基础上,采用新的机电一体的数字智能化设计,研制出改进的DZW-Ⅱ型重力仪。介绍了DZW-Ⅱ型重力仪的基本原理,对仪器使用过程中出现的问题进行分析,改进和优化仪器设计,进一步提高了仪器的可靠性和稳定性。     

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Composition and Origin of Ferromanganese Crusts from Equatorial Western Pacific Seamounts

In the equatorial western Pacific, iron-manganese oxyhydroxide crusts(Fe-Mn crusts) and nodules form on basaltic seamounts and on the top of drowned carbonate platform guyots that have been swept free of pelagic sediments. To date, the Fe-Mn crusts have been considered to be almost exclusively of abiotic origin. However, it has recently been suggested that these crusts may be a result of biomineralization. Although the Fe-Mn crust textures in the equatorial western Pacific are similar to those constructed by bacteria and algae, and biomarkers also document the existence of bacteria and algae dispersed within the Fe-Mn crusts, the precipitation, accumulation and distribution of elements, such as Fe, Mn, Ni and Co in Fe-Mn crusts are not controlled by microbial activity. Bacteria and algae are only physically incorporated into the crusts when dead plankton settle on the ocean floor and are trapped on the crust surface. Geochemical evidence suggests a hydrogenous origin of Fe-Mn crusts in the equatorial western Pacific, thus verifying a process for Fe-Mn crusts that involves the precipitation of colloidal phases from seawater followed by extensive scavenging of dissolved trace metals into the mineral phase during crust formation.     

Assessment of phytoplankton class abundance using fluorescence excitation-emission matrix by parallel factor analysis and nonnegative least squares

The feasibility of using fluorescence excitation-emission matrix (EEM) along with parallel factor analysis (PARAFAC) and nonnegative least squares (NNLS) method for the differentiation of phytoplankton taxonomic groups was investigated. Forty-one phytoplankton species belonging to 28 genera of five divisions were studied. First, the PARAFAC model was applied to EEMs, and 15 fluorescence components were generated. Second, 15 fluorescence components were found to have a strong discriminating capability based on Bayesian discriminant analysis (BDA). Third, all spectra of the fluorescence component compositions for the 41 phytoplankton species were spectrographically sorted into 61 reference spectra using hierarchical cluster analysis (HCA), and then, the reference spectra were used to establish a database. Finally, the phytoplankton taxonomic groups was differentiated by the reference spectra database using the NNLS method. The five phytoplankton groups were differentiated with the correct discrimination ratios (CDRs) of 100% for single-species samples at the division level. The CDRs for the mixtures were above 91% for the dominant phytoplankton species and above 73% for the subdominant phytoplankton species. Sixteen of the 85 field samples collected from the Changjiang River estuary were analyzed by both HPLC-CHEMTAX and the fluorometric technique developed. The results of both methods reveal that Bacillariophyta was the dominant algal group in these 16 samples and that the subdominant algal groups comprised Dinophyta, Chlorophyta and Cryptophyta. The differentiation results by the fluorometric technique were in good agreement with those from HPLC-CHEMTAX. The results indicate that the fluorometric technique could differentiate algal taxonomic groups accurately at the division level.     

拮抗香蕉枯萎病菌海洋细菌的筛选和鉴定

从93份中国南部海域近海海泥样品中分离出1800多株海洋细菌,以对峙培养法,测定海洋细菌对香蕉枯萎菌的拮抗作用,再以琼脂划线培养法(agar streak)测定菌株的抑菌活性,结果表明:约55.6%的菌株对香蕉枯萎菌有一定的拮抗作用,其中58株菌株抑制香蕉枯萎菌生长所形成的抑菌带宽度大于10.0mm,抑菌作用较好,复筛后其中13个菌株形成的抑菌带宽在15.0mm以上。经反复转接和对峙培养,筛选出拮抗效果好、抑菌活性稳定的菌株TC-1,初步鉴定为芽孢杆菌属的细菌,TC-1对14种病原微生物都有较好的抑菌效果。     

Omni-directional distribution patterns of montane coniferous forest in the Helan Mountains of China

Slope aspect has significant effect on the development and distribution of montane forest,especially in arid and semiarid regions.This paper,using SPOT5 images and 1:50,000 DEM,digitally extracts and analyzes the spatial information of montane coniferous forest(mainly Qinghai spruce),and thereby explores how the upper and lower limits and the altitudinal range of coniferous forest vary and how the area of coniferous forest is related with annual insolation with all aspects in the Helan Mountains.The results show that: 1) In the eastern flank,the lower limit of coniferous forest is between 1,600 m and 2,000 m a.s.l.,and the upper limit between 2,800 m and 3,000 m a.s.l.;in the western flank,the lower limit of coniferous forest is between 2,000 m and 2,300 m a.s.l.,and the upper limit between 2,800 m and 3,100 m a.s.l.2) The altitudinal ranges of coniferous forest are 806~1,435 m,438~1,140 m for eastern flank and western flank,respectively.3) The area of coniferous forest takes on a normal distribution with aspect,and it has a close relationship with annual insolation.This distribution model developed in this paper quantitatively reveals the significant effect of slope aspect on the distribution of coniferous forest in arid and semi-arid land.     

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基于BP神经网络的地磁变化场预测研究

以现有地磁台站的长期海量观测数据为基础,忽略地磁场成因及众多影响因素的复杂作用机理,对地磁变化场的时空关联性进行分析,挖掘数据中蕴含的规律信息,进一步构建基于BP神经网络的地磁变化场预测模型。通过实际地磁台站的观测数据对模型预测结果进行验证,结果表明,对于任意选取的100组验证数据,均方根误差为4.8 nT,求解精度能够满足一般科学研究对地磁变化场的精度需求。     

Landsat时序变化检测综述

时序变化检测已成为当前Landsat数据主流的变化检测方法。本文从检测算法对比、时序数据构建和精度评价等方面对Landsat时序变化检测进行回顾和评述,进而提出Landsat时序变化检测当前所存在的问题,及其所面临的挑战。Landsat时序变化检测算法可大致归纳为轨迹拟合法、光谱-时间轨迹法、基于模型的方法3大类,这些算法大多基于森林扰动提出;变化检测常用指标有波段型、植被指数型、线性变换型、组合型4大类,每类指标的优势不同,可综合多类指标以更全面地检测不同扰动类型。尽管Landsat时序变化检测已取得长足发展,但仍然面临诸多挑战,其中最大挑战是缺少一致性的参考数据集进行变化检测精度评价。